Abstract
Large-scale interconnection systems consist of many local subsystems interconnected in the spatial domain. For effective distributed comprehensive monitoring, a structured state space model of the interconnected system is necessary. When a large number of local sensors collect measurement data from the subsystem, it may not be possible to transmit the local measurement data to a centralized computing unit. Therefore, the identification and information interaction on local computing units in a distributed manner is the common solution. In this paper, a distributed subspace identification method is proposed to identify large-scale interconnected systems described by the state space matrix. Converting unknown state coupling into observable output information, the algorithm only uses input and output data to identify the state space model of the system. Moreover, the residual generator is designed to implement the fault detection framework. Numerical simulation shows the effectiveness of the proposed method.
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